Testing the feasibility of mobile ecological momentary assessment for symptom burden and management among metastatic cancer patients.

Background: Individuals who have metastatic cancer experience substantial physical and psychological distress (e.g., pain, depression, anxiety) from their disease and its treatment compared to patients with less advanced disease. As the burden of symptoms varies over time, ecological momentary assessment (EMA) may be used to better understand patients' symptom trajectories, complimenting traditional longitudinal data collection methods. However, few have used EMA in patients with metastatic disease. The current study adds to the existing literature by exploring interrelated, common cancer-related symptoms of pain, anxiety, and depression and use of cannabis-based products, opioid medications, other (nonopioid) pain medications, and medications for anxiety or depression. Methods: An eight-day prospective observational feasibility study was conducted among 50 patients with metastatic cancer recruited from seven solid cancer clinics at The Ohio State University Comprehensive Cancer Center. Participants completed a week of interval-contingent mobile EMA, administered daily at 9 a.m., 3 p.m., and 8 p.m., and a comprehensive interviewer-administered questionnaire on Day 8. Participants were queried on their symptom burden and management strategies (i.e., use of medications and cannabis). We considered EMA to be feasible if a priori retention (80%) and adherence goals (75%) were met. Results: Seventy-nine percent of eligible patients contacted enrolled in the study (n = 50 of 63). Among those enrolled, 92% were retained through Day 8 and 80% completed >90% of EMAs, exceeding a priori objectives. Participants' average pain, anxiety, and depressive symptoms across the week of EMA ranged from 1.7 to 1.8 (1 to 5 scale). Symptoms varied little by day or time of administration. On Day 8, significant proportions of participants reported past-week use of medications and cannabis for symptom management. Conclusions: Participants exceeded a priori adherence and retention objectives, indicating that mobile EMA is feasible among metastatic cancer patients, addressing a gap in the existing literature and informing future research. Restricting eligibility to participants with a minimum cutoff of symptom burden may be warranted to increase observations of symptom variability and provide opportunities for future health interventions. Future research is needed to test the acceptability and quality of data over a longer study period in this patient population.

Marijuana and Cannabidiol Use Prevalence and Symptom Management Among Patients with Cancer.

Symptoms such as pain, nausea, and anxiety are common in individuals with cancer. Treatment of these issues is often challenging. Cannabis products may be helpful in reducing the severity of these symptoms. While some studies include data on the prevalence of cannabis use among patients with cancer, detailed data remain limited, and none have reported the prevalence of cannabidiol (CBD) use in this population. Adult patients with cancer attending eight clinics at a large, NCI-designated Comprehensive Cancer Center completed a detailed, cannabis-focused questionnaire between 2021 and 2022. Eligible participants were diagnosed with invasive cancer and treated in the past 12 months. Summary statistics were calculated to describe the sample regarding cannabis use. Approximately 15% (n = 142) of consented patients (n = 934) reported current cannabis use (defined as use within the past 12 months). Among which, 75% reported cannabis use in the past week. Among current cannabis users, 39% (n = 56; 6% overall) used CBD products. Current users reported using cannabis a median of 4.5 (interquartile range: 0.6­7.0) days/week, 2.0 (1.0­3.0) times per use/day, and for 3 years (0.8­30.0). Use patterns varied by route of administration. Patients reported moderate to high relief of symptoms with cannabis use. This study is the most detailed to date in terms of cannabis measurement and provides information about the current state of cannabis use in active cancer. Future studies should include complete assessments of cannabis product use, multiple recruitment sites, and diverse patient populations. SIGNIFICANCE: Clinicians should be aware that patients are using cannabis products and perceive symptom relief with its use.

Opioid use by cancer status and time since diagnosis among older adults enrolled in the Prostate, Lung, Colorectal, and Ovarian screening trial in the United States.

BACKGROUND: Dosing limits in opioid clinical practice guidelines in the United States are likely misapplied to cancer patients, however, opioid use may be difficult to ascertain as they are largely excluded from opioid use studies. METHODS: The primary objective was to determine whether cancer patients were more likely to be chronic opioid users after diagnosis. We described prescription opioid use among U.S. older adult cancer patients during two time periods, within 2 years of diagnosis (short-term) and at least 2 years beyond diagnosis (long-term), compared to those without cancer (controls). Among participants in the Prostate, Lung, Colorectal, and Ovarian (PLCO) screening trial with linkages to Medicare Part D data during 2011-2015, we used multivariable logistic regression to estimate the association between cancer diagnosis and opioid use outcomes controlling for demographics. The primary outcome of opioid use was measured with the following metrics: Any opioid use, chronic use (90 consecutive days supply of opioid use while allowing for a 7-day gap between refills), high use (average daily morphine equivalent (MME) ≥120 mg for any 90-day period), and total MME dose above 2,000 mg (MME2000 ). RESULTS: The short-term cohort included 1,491 cancer patients and 24,930 controls. Any use in the 2-year post-diagnosis period was higher among cancer patients OR 3.3 (95% CI: 3.0-3.7). Chronic use rates were similar by cancer status (4.6% vs. 3.8% for cases and controls, respectively). The long-term cohort included 4,377 cancer patients and 27,545 controls. Rates of any use were similar among cancer patients and controls (63% vs. 59%). CONCLUSIONS: Any opioid use was similar among long-term cancer survivors compared to controls, but differed among short-term survivors for any opioid use and marginally for chronic opioid use.

The Need for Accurate Risk Assessment in a High-Risk Patient Population: A NSQIP Study Evaluating Outcomes of Cholecystectomy in the Patient With Cancer.

BACKGROUND: Cholecystectomy is considered a low-risk procedure with proven safety in many high-risk patient populations. However, the risk of cholecystectomy in patients with active cancer has not been established. METHODS: The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database was queried to identify all patients with disseminated cancer who underwent cholecystectomy from 2005 to 2016. Postcholecystectomy outcomes were defined for patients with cancer and those without by comparing several outcomes measures. A multivariate model was used to estimate the odds of 30-d mortality. RESULTS: We compared outcomes in 3097 patients with disseminated cancer to a matched cohort of patients without cancer. Patients with cancer had more comorbidities at baseline: dyspnea (10.5% versus 7.0%, P < 0.0001), steroid use (10.1% versus 3.0%, P < 0.0001), and loss of >10% body weight in 6-mo prior (9.3% versus 1.6%, P < 0.0001). Patients with cancer sustained higher rates of wound (2.3% versus 5.6%, P < 0.0001), respiratory (1.4% versus 3.9%, P < 0.0001), and cardiovascular (2.0% versus 6.8%, P < 0.0001) complications. In addition, patients with disseminated cancer experienced a longer length of stay and higher 30-d mortality. Multivariate modeling showed that the odds of 30-d mortality was 3.3 times greater in patients with cancer. CONCLUSIONS: Compared to patients without cancer, those with disseminated cancer are at higher risk of complication and mortality following cholecystectomy. Traditional treatment algorithms should be used with caution and care decisions individualized based on the patient's disease status and treatment goals.

Leaving Against Medical Advice After Emergency General Surgery: Avoiding a Two-Hit Effect.

BACKGROUND: Emergency general surgery has higher adverse outcomes than elective surgery. Patients leaving the hospital against medical advice (AMA) have a greater risk for readmission and complications. We sought to identify clinical and demographic characteristics along with hospital factors associated with leaving AMA after EGS operations. METHODS: A retrospective review of the Nationwide Inpatient Sample was performed. All patients who underwent an EGS procedure accounting for >80% of the burden of EGS-related inpatient resources were identified. 4:1 propensity score analysis was conducted. Regression analyses determined predictive factors for leaving AMA. RESULTS: 546,856 patients were identified. 1085 (0.2%) patients who underwent EGS left AMA. They were more likely to be men (59% versus 42%), younger (median age 51 y, IQR [37.61] versus 54, IQR [38.69]), qualify for Medicaid (26% versus 13%) or be self-pay (17% versus 9%), and be within the lowest quartile median household income (40% versus 28%) (all P < 0.05). After applying 4:1 propensity score matching, individuals who were self-pay (OR 3.15, 95% CI 2.44-4.06) or insured through Medicare (OR 2.75, 95% CI 2.11-3.57) and Medicaid (OR 3.58, 95% CI 2.83-4.52) had increased odds of leaving AMA compared with privately insured patients. In addition, history of alcohol (OR 2.21, 95% CI 1.65-2.98), drug abuse (OR 4.54, 95% CI 3.23-6.38), and psychosis (OR 2.31, 95% CI 1.65-3.23) were associated with higher likelihood for leaving AMA. CONCLUSIONS: Patients undergoing EGS have a high risk of complications, and leaving AMA further increases this risk. Interventions to encourage safe discharge encompassing surgical, psychiatric, and socioeconomic factors are warranted to prevent a two-hit effect and compound postoperative risk.

Analyzing Outcomes Among Older Adults With Necrotizing Soft-Tissue Infections in the United States.

BACKGROUND: Necrotizing soft-tissue infections (NSTIs) encompass a group of severe, life-threatening diseases with high morbidity and mortality. Evidence suggests advanced age is associated with worse outcomes. To date, no large data sets exist describing outcomes in older individuals, and risk factor identification is lacking. METHODS: Retrospective data were obtained from the 2015 Medicare 100% sample. Included in the analysis were those aged ≥65 y with a primary diagnosis of an NSTI (gas gangrene, necrotizing fasciitis, cutaneous gangrene, or Fournier's gangrene). Risk factors for in-hospital mortality and discharge disposition were examined. Continuous variables were assessed using central tendency, t-tests, and Wilcoxon rank-sum tests. Categorical variables were assessed using the chi-squared and Fisher's exact tests. Statistical significance was defined as P < 0.05. RESULTS: 1427 patient records were reviewed. 59% of patients were male, and the overall mean age was 75.4±8.6 y. 1385 (97.0%) patients required emergency surgery for their NSTI diagnosis. The overall mortality was 5.3%. Several underlying comorbidities were associated with higher rates of mortality including cancer (OR: 3.50, P = 0.0009), liver disease (OR: 2.97, P = 0.03), and kidney disease (OR: 2.15, P = 0.01). While associated with high in-hospital mortality, these diagnoses were not associated with a difference in the rate of discharge to home compared with skilled nursing or rehab. Overall, patients discharged to skilled nursing facilities or rehab had higher rates of underlying comorbidities than patients who were discharged home (3 or more comorbid illness 84.3% versus 68.6%, P < 0.0001); however, no individual comorbid illness was associated with discharge location. CONCLUSIONS: In our Medicare data set, we identified several medical comorbidities that are associated with increased rates of in-hospital mortality. Patients with underlying cancers had the highest odds of increased mortality. The effect on outcomes of the potentially immunosuppressive cancer treatments in these patients is unknown. These data suggest that patients with underlying illnesses, especially cancer, kidney disease, or liver disease have higher mortalities and are more likely to be discharged to skilled nursing facilities or rehab. It is unclear why these illnesses were associated with these worse outcomes while others including diabetes and heart disease were not. These data suggest that these particular comorbid illnesses may have special prognostic implications, although further analysis is necessary to identify the causative factors.

Identifying the fundamental structures and processes of care contributing to emergency general surgery quality using a mixed-methods Donabedian approach.

BACKGROUND: Acute Care Surgery (ACS) was developed as a structured, team-based approach to providing round-the-clock emergency general surgery (EGS) care for adult patients needing treatment for diseases such as cholecystitis, gastrointestinal perforation, and necrotizing fasciitis. Lacking any prior evidence on optimizing outcomes for EGS patients, current implementation of ACS models has been idiosyncratic. We sought to use a Donabedian approach to elucidate potential EGS structures and processes that might be associated with improved outcomes as an initial step in designing the optimal model of ACS care for EGS patients. METHODS: We developed and implemented a national survey of hospital-level EGS structures and processes by surveying surgeons or chief medical officers regarding hospital-level structures and processes that directly or indirectly impacted EGS care delivery in 2015. These responses were then anonymously linked to 2015 data from the American Hospital Association (AHA) annual survey, Medicare Provider Analysis and Review claims (MedPAR), 17 State Inpatient Databases (SIDs) using AHA unique identifiers (AHAID). This allowed us to combine hospital-level data, as reported in our survey or to the AHA, to patient-level data in an effort to further examine the role of EGS structures and processes on EGS outcomes. We describe the multi-step, iterative process utilizing the Donabedian framework for quality measurement that serves as a foundation for later work in this project. RESULTS: Hospitals that responded to the survey were primarily non-governmental and located in urban settings. A plurality of respondent hospitals had fewer than 100 inpatient beds. A minority of the hospitals had medical school affiliations. DISCUSSION: Our results will enable us to develop a measure of preparedness for delivering EGS care in the US, provide guidance for regionalized care models for EGS care, tiering of ACS programs based on the robustness of their EGS structures and processes and the quality of their outcomes, and formulate triage guidelines based on patient risk factors and severity of EGS disease. CONCLUSIONS: Our work provides a template for team science applicable to research efforts combining primary data collection (i.e., that derived from our survey) with existing national data sources (i.e., SIDs and MedPAR).

The association between self-declared acute care surgery services and critical care resources: Results from a national survey.

PURPOSE: We examined differences in critical care structures and processes between hospitals with Acute Care Surgery (ACS) versus general surgeon on call (GSOC) models for emergency general surgery (EGS) care. METHODS: 2811 EGS-capable hospitals were surveyed to examine structures and processes including critical care domains and ACS implementation. Differences between ACS and GSOC hospitals were compared using appropriate tests of association and logistic regression models. RESULTS: 272/1497 hospitals eligible for analysis (18.2%) reported they use an ACS model. EGS patients at ACS hospitals were more likely to be admitted to a combined trauma/surgical ICU or a dedicated surgical ICU. GSOC hospitals had lower adjusted odds of having 24-h ICU coverage, in-house intensivists or respiratory therapists, and 4/6 critical-care protocols. CONCLUSIONS: Critical care delivery is a key component of EGS care. While harnessing of critical care structures and processes varies across hospitals that have implemented ACS, overall ACS models of care appear to have more robust critical care practices.

Loss of Community-Dwelling Status Among Survivors of High-Acuity Emergency General Surgery Disease.

OBJECTIVES: To examine loss of community-dwelling status 9 months after hospitalization for high-acuity emergency general surgery (HA-EGS) disease among older Americans. DESIGN: Retrospective analysis of claims data. SETTING: US communities with Medicare beneficiaries. PARTICIPANTS: Medicare beneficiaries age 65 years or older hospitalized urgently/emergently between January 1, 2015, and March 31, 2015, with a principal diagnosis representing potential life or organ threat (necrotizing soft tissue infections, hernias with gangrene, ischemic enteritis, perforated viscus, toxic colitis or gastroenteritis, peritonitis, intra-abdominal hemorrhage) and an operation of interest on hospital days 1 or 2 (N = 3319). MEASUREMENTS: Demographic characteristics (age, race, and sex), comorbidities, principal diagnosis, complications, and index hospitalization disposition (died; discharged to skilled nursing facility [SNF], long-term acute care [LTAC], rehabilitation, hospice, home (with or without services), or acute care hospital; other) were measured. Survivors of index hospitalization were followed until December 31, 2015, on mortality and community-dwelling status (SNF/LTAC vs not). Descriptive statistics, Kaplan-Meier plots, and χ2 tests were used to describe and compare the cohort based on disposition. A multivariable logistic regression model, adjusted for age, sex, comorbidities, complications, and discharge disposition, determined independent predictors of loss of community-dwelling status at 9 months. RESULTS: A total of 2922 (88%) survived index hospitalization. Likelihood of discharge to home decreased with increasing age, baseline comorbidities, and in-hospital complications. Overall, 418 (14.3%) HA-EGS survivors died during the follow-up period. Among those alive at 9 months, 10.3% were no longer community dwelling. Initial discharge disposition to any location other than home and three or more surgical complications during index hospitalization were independent predictors of residing in a SNF/LTAC 9 months after surviving HA-EGS. CONCLUSION: Older Americans, known to prioritize living in the community, will experience substantial loss of independence due to HA-EGS. Long-term expectations after surviving HA-EGS must be framed from the perspective of the outcomes that older patients value the most. Further research is needed to examine the quality-of-life burden of EGS survivorship prospectively. J Am Geriatr Soc 67:2289-2297, 2019.

The association between self-declared acute care surgery services and operating room access: Results from a national survey.

BACKGROUND: Timely access to the operating room (OR) for emergency general surgery (EGS) diseases is key to optimizing outcomes. We conducted a national survey on EGS structures and processes to examine if implementation of acute care surgery (ACS) would improve OR accessibility compared with a traditional general surgeon on call (GSOC) approach. METHODS: We surveyed 2,811 acute care general hospitals in the United States capable of EGS care. The questionnaire included queries regarding structures and processes related to OR access and on the model of EGS care (ACS vs. GSOC). Associations between the EGS care model and structures and processes to ensure OR access were measured using univariate and multivariate models (adjusted for hospital characteristics). RESULTS: Of 1,690 survey respondents (60.1%), 1,497 reported ACS or GSOC. 272 (18.2%) utilized an ACS model. The ACS hospitals were more likely to have more than 5 days of block time and a tiered system of booking urgent/emergent cases compared with GSOC hospitals (34.2% vs. 7.4% and 85.3% vs. 57.6%, respectively; all p values <0.001). Surgeons at ACS hospitals were more likely to be free of competing clinical duties, be in-house overnight, and cover at a single hospital overnight when covering EGS (40.1% vs. 4.7%, 64.7% vs. 25.6%, and 84.9% vs. 64.9%, respectively; all p values <0.001). The ACS hospitals were more likely to have overnight in-house scrub techs, OR nurses, and recovery room nurses (69.9% vs. 13.8%, 70.6% vs. 13.9%, and 45.6% vs. 5.4%, respectively; all p values <0.001). On multivariable analysis, ACS hospitals had higher odds of all structures and processes that would improve OR access. CONCLUSION: The ACS implementation is associated with factors that may improve OR access. This finding has implications for potential expansion of EGS care models that ensure prompt OR access for the EGS diseases that warrant emergency surgery. LEVEL OF EVIDENCE: Therapeutic, Level III.

Geographic variation in hospital costs, payments, and length of stay for opioid-related hospital visits in the USA.

PURPOSE: Despite the rise in opioid-related hospitalizations, there has been little research regarding opioid-related healthcare utilization. The objective of this study was to estimate the mean adjusted hospital costs, payments, and length of stay (LOS) for opioid-related visits for the nation and each of the nine US census regions. METHODS: An observational study of retrospective claims data from the Vizient health system database was conducted. Eligible visits had a principal diagnosis of opioid use or dependence defined by ICD, ninth and tenth revision (ICD-9/10), and occurred between January 2014 and June 2017. Separate regression models for inpatient and outpatient visits were generated to estimate the adjusted costs, payments, and LOS for opioid-related visits. RESULTS: A total of 193,614 (32,713 inpatient and 160,901 outpatient) visits met the inclusion criteria. The overall adjusted mean cost, payment, and LOS for an inpatient opioid-related visit were $4,383 (range between regions: $2,894-$5,835), $6,689 (range between regions: $4,038-$9,001), and 4.35 days (range between regions: 3.8-5.7 days), respectively. The overall adjusted mean cost and payment for an outpatient opioid-related visit were $533 (range between regions: $395-$802) and $374 (range between regions: $187-$574), respectively. Opioid-related hospital costs, payments, and LOS varied across the US. Data on the regional variation and national averages are necessary for hospitals to benchmark their services and more effectively manage this population. CONCLUSION: Future research should examine intraregion utilization to understand the effect of prices and level of services.

Estimating the Effect of Intravenous Acetaminophen for Postoperative Pain Management on Length of Stay and Inpatient Hospital Costs.

INTRODUCTION: The provision of safe, effective, cost-efficient perioperative inpatient acute pain management is an important concern among clinicians and administrators within healthcare institutions. Overreliance on opioid monotherapy in this setting continues to present health risks for patients and increase healthcare costs resulting from preventable adverse events. The goal of this study was to model length of stay (LOS), potential opioid-related complications, and costs for patients reducing opioid use and adding intravenous acetaminophen (IV APAP) for management of postoperative pain. METHODS: Data for this study were de-identified inpatient encounters from The Advisory Board Company across 297 hospitals from 2012-2014, containing 2,238,433 encounters (IV APAP used in 12.1%). Encounters for adults ≥18 years of age admitted for cardiovascular, colorectal, general, obstetrics and gynecology, orthopedics, or spine surgery were included. The effects of reducing opioids and adding IV APAP were estimated using hierarchical statistical models. Costs were estimated by multiplying modeled reductions in LOS or complication rates by observed average volumes for medium-sized facilities, and by average cost per day or per complication (LOS: US$2383/day; complications: derived from observed charges). RESULTS: Across all surgery types, LOS showed an average reduction of 18.5% (10.7-32.0%) for the modeled scenario of reducing opioids by one level (high to medium, medium to low, or low to none) and adding IV APAP, with an associated total LOS-related cost savings of $4.5 M. Modeled opioid-related complication rates showed similar improvements, averaging a reduction of 28.7% (5.4-44.0%) with associated cost savings of $0.2 M. In aggregate, costs decreased by an estimated $4.7 M for a medium-sized hospital. The study design demonstrates associations only and cannot establish causal relationships. The cost impact of LOS is modeled based on observed data. CONCLUSIONS: This investigation indicates that reducing opioid use and including IV APAP for postoperative pain management has the potential to decrease LOS, opioid-related complication rates, and costs from a hospital perspective. FUNDING: Mallinckrodt Pharmaceuticals.

Comparative Analysis of Length of Stay and Inpatient Costs for Orthopedic Surgery Patients Treated with IV Acetaminophen and IV Opioids vs. IV Opioids Alone for Post-Operative Pain.

INTRODUCTION: Recovery from orthopedic surgery is oriented towards restoring functional health outcomes while reducing hospital length of stay (LOS) and medical expenditures. Optimal pain management is a key to reaching these objectives. We sought to compare orthopedic surgery patients who received combination intravenous (IV) acetaminophen and IV opioid analgesia to those who received IV opioids alone and compared the two groups on LOS and hospitalization costs. METHODS: We performed a retrospective analysis of the Premier Database (Premier, Inc.; between January 2009 and June 2015) comparing orthopedic surgery patients who received post-operative pain management with combination IV acetaminophen and IV opioids to those who received only IV opioids starting on the day of surgery and continuing up to the second post-operative day. The quarterly rate of IV acetaminophen use for all hospitalizations by hospital served as the instrumental variable in two-stage least squares regressions controlling for patient and hospital covariates to compare the LOS and hospitalization costs of IV acetaminophen recipients to opioid monotherapy patients. RESULTS: We identified 4,85,895 orthopedic surgery patients with 1,74,805 (36%) who had received IV acetaminophen. Study subjects averaged 64 years of age and were predominantly non-Hispanic Caucasians (78%) and female (58%). The mean unadjusted LOS for IV acetaminophen patients was 3.2 days [standard deviation (SD) 2.6] compared to 3.9 days (SD 3.9) with only IV opioids (P < 0.0001). Average unadjusted hospitalization costs were $19,024.9 (SD $13,113.7) for IV acetaminophen patients and $19,927.6 (SD $19,578.8) for IV opioid patients (P < 0.0001). These differences remained statistically significant in our instrumental variable models, with IV acetaminophen associated with 0.51 days shorter hospitalization [95% confidence interval (CI) -0.58 to -0.44, P < 0.0001] and $634.8 lower hospitalization costs (95% CI -$1032.5 to -$237.1, P = 0.0018). CONCLUSION: Compared to opioids alone, managing post-orthopedic surgery pain with the addition of IV acetaminophen is associated with shorter LOS and decreased hospitalization costs. FUNDING: Mallinckrodt Pharmaceuticals.

Health Care Costs and Utilization in Patients Receiving Prescriptions for Long-acting Opioids for Acute Postsurgical Pain.

OBJECTIVES: Severe pain after joint replacement surgeries is common and is usually managed by opioid analgesics. We described joint replacement surgery patients who received prescriptions for long-acting opioids (LAOs) and compared their health care utilization and costs with postsurgical patients who did not receive LAO prescriptions. MATERIALS AND METHODS: Patients undergoing hip, knee, or shoulder replacement surgery between January 1, 2008 and December 31, 2011were included in the study and were classified by their exposure to LAOs. We estimated multivariate models to compare the groups' health care utilization and costs in the first 7 days and in the 1, 3, 6, and 12 months after surgery. RESULTS: Of 118,816 patients who met our inclusion criteria, 15,094 (13%) received LAO prescriptions in 30 days following surgery. LAO recipients were slightly younger and more likely than nonrecipients to have taken antibiotics, antidepressants, benzodiazepines, antihypertensives, sedatives, muscle relaxants, and short-acting opioids in the 60 days before surgery. LAO recipients were more likely to have had a hospitalization and an emergency department visit in the subsequent 1 week and in the next 1, 3, 6, and 12 months. Patients receiving LAO prescriptions incurred greater costs in the 1 week and in the 1, 3, 6, and 12 months following their surgeries compared with patients who did not receive LAO prescriptions. DISCUSSION: We found associations between patients who received prescriptions for LAOs and increased costs and utilization. Future studies should elucidate causal relationships between LAOs and increased resource use. Providers should consider alternative pain management strategies.

Pharmacists' training, perceived roles, and actions associated with dispensing controlled substance prescriptions.

OBJECTIVES: To examine situations that prompt pharmacists to access a prescription drug monitoring program (PDMP) database and management of opioid abuse/addiction; assess pharmacists' actions when abuse is suspected; describe pharmacists' tasks when dispensing controlled substance prescriptions (CSPs); and their continuing pharmacy education (CPE). DESIGN Cross-sectional mail survey of 1,000 randomly selected pharmacists. SETTING: Texas from February 2012 to April 2012. PARTICIPANTS: 1,000 Texas community pharmacists. INTERVENTION: Mail survey instrument. MAIN OUTCOME MEASURES: Prompts to use a PDMP and pharmacists' views actions, and related CPE programs. RESULTS The usable response rate was 26.2%. Pharmacists were more supportive of mandated PDMP use by physicians than by pharmacists (mean ± SD 4.1 ± 1.2 versus 3.2 ± 1.5; P <0.001), based on a 5-point Likert scale (1, strongly disagree, to 5, strongly agree). Most pharmacists would be prompted to use a PDMP if the prescription contains mistakes (68.1%) or the patient requests an early refill (66.3%). Bivariate statistics showed that men pharmacists, those with BSPharm degrees, and pharmacists ≥50 years of age reported a greater number of CPE hours related to prescription opioid abuse and pain management. An analysis of variance showed that pharmacy owners reported significantly more (P <0.05) CPE compared with manager and staff pharmacists. CONCLUSION: Older pharmacists with a BSPharm degree may be more willing to provide counseling to patients with opioid addiction based on their work experience and additional CPE related to controlled substances. As PDMP use becomes more prevalent, pharmacists should be prepared to interact and counsel patients identified with aberrant controlled prescription drug use and properly deliver pain management care. Additionally, schools of pharmacy curricula must prepare new pharmacists to prevent abuse and diversion, as well as intervene when aberrant use is identified.

Estimates of charges associated with emergency department and hospital inpatient care for opioid abuse-related events.

The economic burden of prescription opioid abuse is substantial; however, no study has estimated the monetary burden of hospital services (emergency department [ED] and inpatient) using a single, nationally representative database. We sought to estimate total and average (adjusted for demographic and clinical factors) charges billed for opioid abuse-related events, and magnitude of difference in charges between ED visits resulting in inpatient admission to the same hospital and treat-and-release ED visits in the United States. We used the 2006, 2007, and 2008 files of the Healthcare Cost and Utilization Project's Nationwide Emergency Departments Sample (HCUP-NEDS) to identify events and charges assigned opioid abuse, dependence, or poisoning ICD-9-CM (International Classification of Diseases, 9th Revision, Clinical Modification) diagnosis codes (304.0X, 304.7X, 305.5X, 965.00, 965.02, 965.09). Using methods to account for the complex sampling design of the NEDS and a log-linked gamma regression model, we estimated national total and mean charges (in 2010 USD). Total charges were $9.8, $9.6, and $9.5 billion for 2006, 2007, and 2008, respectively. Medicaid-covered events had the highest total charges ($3 billion), followed by events covered by Medicare ($2 billion) for each year. The national estimate of adjusted, mean, per-event charges, was $18,891 (95% confidence interval [CI] = $18,167-$19,616). Compared with events covered by private insurance, mean charges for Medicare- and Medicaid-covered events were higher (t = 28.14, P < .001; t = 6.42, P < .001, respectively), whereas self-paid events had significantly lower charges (t = -11.14, P < .001). ED visits resulting in subsequent inpatient admission had approximately 6 times higher charges than treat-and-release visits. This study provides estimates of differences in hospital costs of opioid abuse by insurance status, resulting in a better understanding of the economic burden of opioid abuse on the health care system.

Adherence to oral antidiabetic medications in the pediatric population with type 2 diabetes: a retrospective database analysis.

BACKGROUND: Little has been done in assessing adherence to oral antidiabetic (OAD) medications in the pediatric population presenting with type 2 diabetes. This study provided information on adherence rates in the Texas Medicaid pediatric population with type 2 diabetes, which is rare in the literature. The knowledge of adherence rates in the pediatric population with type 2 diabetes might help improve the care given to pediatric patients with type 2 diabetes. OBJECTIVE: To describe OAD medication use, and assess trends in medication adherence and persistence among Texas pediatric Medicaid patients. METHODS: Texas Medicaid prescription claims data of patients between 10 and 18 years of age, with at least 2 prescriptions of the same OAD medication from January 1, 2006 to December 31, 2009, were analyzed. Adherence was assessed using the medication possession ratio (MPR) as a proxy. RESULTS: A total of 3109 patients met the study's inclusion criteria. The mean (SD) age of the 3109 eligible patients was 14.2 (2.3) years; 60% were Hispanics, 14% were blacks, 13% were whites, and another 13% were other minority races; 67% of the population were females; and 91% were on metformin of the 6 OAD medications included in the study The overall mean (SD) MPR for patients was 44.69% (27.06%). Adherence differed by gender (P < 0.0001), race (P < 0.0001), and age category (P < 0.0001). Males had higher mean (SD) MPR (47.47% [27.42%]) compared with females (43.29% [26.78%]). Mean MPR for whites (50.04% [29.65%]) was significantly higher compared with blacks (44.24% [26.16%]) and Hispanics (42.50% [26.10%]). Patients ≤12 years of age had significantly higher mean MPR (48.82% [27.37%]) compared with those in older age categories. Logistic regression analysis suggested that age was significantly related (odds ratio [OR] = 0.91; 95% CI, 0.87-0.95) to being adherent (MPR ≥80%). Males were 25% (OR = 1.25; 95% CI, 1.02-1.53; P = 0.034) more likely to be adherent (MPR ≥80%) compared with females, and whites were twice as likely to be adherent (MPR ≥80%) compared with Hispanics (OR = 2.02; 95% CI, 1.54-2.66; P = 0.0012). Overall, mean (SD) days to nonpersistence was 108 (86) days. Persistence was significantly and negatively associated with age (P < 0.0001). White race was significantly related to longer persistence. CONCLUSION: Adherence and persistence to OAD medications in the selected Texas Medicaid pediatric population between 10 and 18 years was generally suboptimal, especially in adolescents.

A retrospective database analysis of neuropathic pain and oral antidiabetic medication use and adherence among Texas adults with type 2 diabetes enrolled in Medicaid.

BACKGROUND: Adherence to oral antidiabetic (OAD) medications is essential in achieving glycemic control and slowing the progression of diabeties-related complications such as neuropathic pain. OAD medication adherence has been suboptimal and adding neuropathic pain medications may negatively affect adherence. However, little is known about adherence to neuropathic pain medications by patients with diabetes and how this may be related to OAD medication adherence. OBJECTIVE: The objectives of our study were to: (1) describe painful diabetic peripheral neuropathy (PDPN) and OAD medication use, (2) determine if PDPN medication adherence differs among individual PDPN medications (ie, tricyclic antidepressants, gabapentin, pregabalin, and duloxetine); and (3) determine if PDPN medication adherence is related to post-index OAD medication adherence while controlling for covariates. METHODS: This retrospective prescription claims database study included continuously enrolled Texas Medicaid beneficiaries who were adult (aged 30-64 years) prescribed OAD (pre- and post-index) and PDPN (post-index) medications. Data were extracted from June 1, 2003 to October 31, 2009. The main study outcome was post-index OAD medication adherence. Primary independent variables included PDPN medication adherence and PDPN medication type. Demographic and medication use characteristics served as covariates. Adherence was measured both continuously and dichotomously (80% cut-off) using medication possession ratio (MPR). RESULTS: The sample's (n = 4277) overall mean MPR (SD) for PDPN medications was 75.4% (23.9%). Mean MPR differed significantly among individual PDPN medications (P < 0.0001) and was highest for duloxetine (85.6% [18.2%]) and lowest for pregabalin (69.4% [24.9%]). Overall mean MPR (SD) for OAD medications decreased significantly (P < 0.0001) from 73.0% (24.3%) in the pre-index period to 64.5% (25.6%) in the post-index period. After controlling for covariates, nonadherers (ie, MPR <80%) to PDPN medications, compared with adherers (ie, MPR ≥80%), were significantly less likely to be adherent to OAD medications in the post-index period (odds ratio = 0.626; 95% CI, 0.545-0.719). CONCLUSIONS: Overall, these data suggest that mean adherence to both PDPN and OAD medications was suboptimal (MPR <80%). Patients who were adherent to PDPN medications were more adherent to OAD medications in the post-index period, but OAD medication adherence was independent of the type of PDPN medication used. OAD adherence decreased from pre- to post-index (ie, when patients were prescribed PDPN medications), which may indicate an opportunity for practitioners to emphasize the importance of OAD adherence in reducing the progression to neuropathy.